Data Analyst
Edinburgh or Glasgow (Hybrid working 1-2 days per week in the office)
Up to £65k + package
We are looking for an experienced Data Analyst to join a leading bank. The successful candidate will be based out of our Edinburgh or Glasgow office, with the flexibility to work remotely 1-2 days per week.
The role will focus on delivering best practice data analytics with the drive and capability to learn new skills and immerse themselves in the many facets of our technology and how the organisation's data is managed. As a Data Analyst, you will develop and maintain data pipelines designed to enrich existing data repositories on-premises and cloud.
Responsibilities:
Create, maintain, and optimize data pipelines in SAS and Python
Automate using SAS DI Studio, LSF, Airflow, and Python
Collaborate with other data engineers, solution architectures, and product owners on everyday challenges
Assist our lead and principal engineers on our longer-term technology goals
Drive feature upgrades and technical proof of concepts
Advise on industry best practices leveraging your experience to assist in the design, discovery, and delivery phases to ultimately enhance our engineering team
Develop and maintain data pipelines designed to enrich existing data repositories both on-premises, and cloud
Qualifications and Experience:
1+ years of business analysis experience using SAS or SQL
Qualification in Computer Science or proven experience of the data lifecycle and systems
SAS or SQL experience (SAS is the preference)
Cloud data platforms like AWS or Azure
Object Oriented Programming, Test-Driven Development and/or Behaviour Driven Development
Data services like data lakes, relational databases, data warehouses, and ETL methodologies
CI/CD experience with Jenkins, Github, or Cloudbees
Data structuring and modelling (integration, derivation, and transformation)
The successful candidate will have the opportunity to work with a modern Azure-based tech stack with career progression on the table. They encourage all analysts to share new ideas, challenge existing practices, and always be looking for opportunities to improve their teams and our wider engineering community.
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